code: def predict_dataloader(self) -> "DataLoader":
      self.labelled._predict_input = self.filter_unlabelled_data(
          self._dataset.pool
      )
      dataloader = self.labelled._predict_dataloader()
      dataloader.collate_fn = create_worker_input_transform_processor(
          RunningStage.TRAINING, self.labelled.input_transform
      )
      return dataloader
  
imports: import warnings
  from typing import Any, Callable, Dict, List, Optional
  import numpy
  import torch
  from torch import Tensor
  from torch.utils.data import DataLoader, Dataset, random_split
  from flash.core.data.data_module import DataModule
  from flash.core.data.io.input import InputBase
  from flash.core.data.io.input_transform import create_worker_input_transform_processor
  from flash.core.utilities.imports import _BAAL_AVAILABLE, requires
  from flash.core.utilities.stages import RunningStage
label_desc: Use image node_id 9 for calling the ActiveLearningDataModule obj's underlying member method code with example usage: obj.predict_dataloader() and returns: dataloader